History shows that when wildfires get out of hand, they can be costly and deadly to people nearby. Monitoring Real-Time Forest Fires with MODIS and VIIRS As you can see below, here is a satellite view of the December 2017 wildfires in California. If you downloaded the correct date and time, you should be able to see the forest fire. Finally, drag and drop the Landsat image into Google Earth Pro without any extra processing. The image type you want is Landsat Look with Geographic Reference (about 10MB). If you want to see a snapshot of the fire, your best chance is to use a Landsat scene from the USGS Earth Explorer.įortunately, we have a tutorial on how to download Landsat data. As you can see above, the latest forest fires will pop up with fire symbols. ![]() Next, drag and drop the KMZ into Google Earth Pro. But really, all it takes is a bit of legwork to get started.įirst, download the latest active fire data from NASA. Even though the imagery is usually less than a year old, chances are that you won’t see a forest fire in the application. And the best part is that it’s never a cloudy day. It is suitable as a general index of fire danger throughout the forested areas of Canada.Ĭrown copyright © 2021, Government of Nova Scotia.Google Earth Pro is a handy tool that helps you sight-see the planet. It combines the effects of wind and FFMC on rate of spread without the influence of variable quantities of fuel.Ī numerical rating of the total amount of fuel available for combustion that combines DMC and DC.Ī numerical rating of fire intensity that combines ISI and BUI. This code is a useful indicator of seasonal drought effects on forest fuels, and amount of smouldering in deep duff layers and large logs.Ī numerical rating of the expected rate of fire spread. This code gives an indication of fuel consumption in moderate duff layers and medium-size woody material.Ī numerical rating of the average moisture content of deep, compact, organic layers. This code is an indicator of the relative ease of ignition and flammability of fine fuel.Ī numerical rating of the average moisture content of loosely compacted organic layers of moderate depth. The six components are described below.Ī numerical rating of the moisture content of litter and other cured fine fuels. It provides a uniform method of rating fire danger across Canada. The system is dependent on weather only and does not consider differences in risk, fuel, or topography. The final three components are fire behavior indexes, representing rate of spread, amount of available fuel, and fire intensity their values increase as fire weather severity worsens. For each, there are two phases - one for wetting by rain and one for drying - arranged so that the higher values represent lower moisture contents and hence greater flammability. The first three components are fuel moisture codes that follow daily changes in the moisture contents of three classes of forest fuel with different drying rates. The six standard components of the FWI System provide numerical ratings of relative wildland fire potential. Standard Components of the Fire Weather Index (FWI): For further information contact the Fire Control Centre. This information has been prepared for your convenience and has no official sanction. ![]() Weather conditions are constantly changing. ![]() If you accept cookies, please click on the map image to enable. ![]() Google maps may use cookies to track information. (The weather foreceast maps are generated from Google. The following is a list of Fire Weather Maps and Indices that are active during the forest fire season.
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